Paper Title :Inter-Team Boundary Spanning: A Data Science Approach
Author :Wietske Van Osch, Charles Steinfield, Yanjie Zhao
Article Citation :Wietske Van Osch ,Charles Steinfield ,Yanjie Zhao ,
(2015 ) " Inter-Team Boundary Spanning: A Data Science Approach " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 106-110,
Volume-3, Issue-10
Abstract : With the ubiquity of data, new opportunities have emerged for the application of data science and machine learning
approaches to help enhance the efficiency and effectiveness of knowledge management. With the growing use of social media
technologies in enterprise settings, one specific area of knowledge management warranting the use of big data analytics
involves cross-boundary knowledge creation and management. The objective of this paper is to develop and test a machine
learning approach that can assist knowledge managers in detecting three types of intra-organizational boundary spanning
activities with the goal of predicting and improving such important outcomes as team effectiveness, collaboration, knowledge
sharing, and innovation.
Index Terms- Inter-team Boundary Spanning, Data Science, Machine Learning, Knowledge Management
Type : Research paper
Published : Volume-3, Issue-10
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-3105
View Here
Copyright: © Institute of Research and Journals
| |
 |
| |
 |
PDF |
| |
Viewed - 84 |
| |
Published on 2015-10-13 |
|
